With Troy Magennis on nov. 13th, 2014

This one day tutorial deeply discusses how to capture, check, and forecasting using metrics captured or estimated in Lean software projects.

Attendees will leave this tutorial with forecasting tools and techniques that can be used to improve the reliability of forecasting without requiring detailed (or any) up-front developer
estimates. It will also discuss when you may need estimates, and if so, which ones matter most. Without requiring heavy mathematic, this tutorial aims to develop the attendees ability to
understand how probabilistic thinking can be applied to making informed decisions about their projects.

This seminar is suited to you if you -

Struggle to know what metrics are useful and which ones are misleading

Suffer from data quality through poor capture and gamed values

Find analyzing and presenting data to get action is harder than it ought to be

Target Audience -

Executives or mangers wanting a better understanding of Agile metrics and analysis

People responsible for Agile project planning and reporting

People interesting in expanding their knowledge on Agile metrics and analytics who are using Scrum, Lean, Kanban or
ScrumBan as their IT process

Topic areas -

Metric Selection - picking the right metrics that add value and avoid gaming or poor performance

Metric Capture - identifying errors and cleaning noisy or gamed data

Metric Analysis - probabilistic forecasting and interpreting variation in data that is significant

Metric Presentation - presenting data to get action and avoiding common presentation mistakes

Making Analytic Decisions / Q & A - wrap-up combining all the practices into a useful management program